A polynomial-time algorithm for learning noisy linear threshold functions
- Author
- BLUM, A1 ; FRIEZE, A2 ; KANNAN, R1 ; VEMPALA, S1
[1] School of Computer Science, Carnegie Mellon University, Pittsburgh, PA 15213, United States
[2] Department of Mathematical Sciences, Carnegie Mellon University, Pittsburgh, PA 15213, United States - Issue title
- Computational learning theory
- Author (monograph)
- AUER, P (Author of introductory parts)1 ; MAASS, W (Author of introductory parts)1
[1] Institute for Theoretical Computer Science, Technische Universität Graz, Graz, Austria - Source
Algorithmica. 1998, Vol 22, Num 1-2, pp 35-52 ; ref : 20 ref
- ISSN
- 0178-4617
- Scientific domain
- Computer science
- Publisher
- Springer, New York, NY
- Publication country
- United States
- Document type
- Article
- Language
- English
- Keyword (fr)
- Algorithme apprentissage Apprentissage moteur Complexité temps Fonction seuil Perceptron Réseau neuronal Temps polynomial
- Keyword (en)
- Learning algorithm Motor learning Time complexity Threshold function Perceptron Neural network Polynomial time
- Keyword (es)
- Algoritmo aprendizaje Aprendizaje motor Complejidad tiempo Función umbral Perceptron Red neuronal Tiempo polinomial
- Classification
- Pascal
- 001 Exact sciences and technology / 001D Applied sciences / 001D02 Computer science; control theory; systems / 001D02A Theoretical computing / 001D02A05 Algorithmics. Computability. Computer arithmetics
- Pascal
- 001 Exact sciences and technology / 001D Applied sciences / 001D02 Computer science; control theory; systems / 001D02C Artificial intelligence / 001D02C06 Connectionism. Neural networks
- Discipline
- Computer science : theoretical automation and systems
- Origin
- Inist-CNRS
- Database
- PASCAL
- INIST identifier
- 1655051
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
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DOI
10.1007/PL00013833 
https://dx.doi.org/10.1007/PL00013833
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